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Probabilistic Neural-symbolic Models for Interpretable Visual Question
  Answering

Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering

21 February 2019
Ramakrishna Vedantam
Karan Desai
Stefan Lee
Marcus Rohrbach
Dhruv Batra
Devi Parikh
    NAI
    BDL
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Papers citing "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering"

20 / 20 papers shown
Title
Closed Loop Interactive Embodied Reasoning for Robot Manipulation
Closed Loop Interactive Embodied Reasoning for Robot Manipulation
Michal Nazarczuk
Jan Kristof Behrens
Karla Stepanova
Matej Hoffmann
K. Mikolajczyk
LM&Ro
LRM
55
1
0
23 Apr 2024
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology
Muhammad Hassan
Haifei Guan
Aikaterini Melliou
Yuqi Wang
Qianhui Sun
...
Qi Huang
Jiefu Tan
Qinwang Xing
Peiwu Qin
Dongmei Yu
NAI
47
14
0
31 Jul 2022
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep
  Discriminative Models
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models
Ainkaran Santhirasekaram
Avinash Kori
A. Rockall
Mathias Winkler
Francesca Toni
Ben Glocker
FAtt
42
4
0
05 Jul 2022
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning
Simone Martone
Francesco Manigrasso
Lamberti Fabrizio
Lia Morra
34
3
0
26 Jun 2022
DALL-E for Detection: Language-driven Compositional Image Synthesis for
  Object Detection
DALL-E for Detection: Language-driven Compositional Image Synthesis for Object Detection
Yunhao Ge
Lyne Tchapmi
Brian Nlong Zhao
Neel Joshi
Laurent Itti
Vibhav Vineet
DiffM
ObjD
28
16
0
20 Jun 2022
Brainish: Formalizing A Multimodal Language for Intelligence and
  Consciousness
Brainish: Formalizing A Multimodal Language for Intelligence and Consciousness
Paul Pu Liang
30
4
0
14 Apr 2022
DIME: Fine-grained Interpretations of Multimodal Models via Disentangled
  Local Explanations
DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations
Yiwei Lyu
Paul Pu Liang
Zihao Deng
Ruslan Salakhutdinov
Louis-Philippe Morency
24
31
0
03 Mar 2022
Automated causal inference in application to randomized controlled
  clinical trials
Automated causal inference in application to randomized controlled clinical trials
Ji Q. Wu
N. Horeweg
M. de Bruyn
R. Nout
I. Jürgenliemk-Schulz
...
H. Nijman
V. Smit
T. Bosse
C. Creutzberg
V. Koelzer
CML
34
14
0
15 Jan 2022
Knowledge-based Embodied Question Answering
Knowledge-based Embodied Question Answering
Sinan Tan
Mengmeng Ge
Di Guo
Huaping Liu
F. Sun
30
20
0
16 Sep 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
Paul Pu Liang
Yiwei Lyu
Xiang Fan
Zetian Wu
Yun Cheng
...
Peter Wu
Michelle A. Lee
Yuke Zhu
Ruslan Salakhutdinov
Louis-Philippe Morency
VLM
32
159
0
15 Jul 2021
Latent Variable Models for Visual Question Answering
Latent Variable Models for Visual Question Answering
Zixu Wang
Yishu Miao
Lucia Specia
25
5
0
16 Jan 2021
Right for the Right Concept: Revising Neuro-Symbolic Concepts by
  Interacting with their Explanations
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations
Wolfgang Stammer
P. Schramowski
Kristian Kersting
FAtt
14
107
0
25 Nov 2020
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
Saeed Amizadeh
Hamid Palangi
Oleksandr Polozov
Yichen Huang
K. Koishida
NAI
LRM
39
58
0
20 Jun 2020
Graph Density-Aware Losses for Novel Compositions in Scene Graph
  Generation
Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation
Boris Knyazev
H. D. Vries
Cătălina Cangea
Graham W. Taylor
Aaron Courville
Eugene Belilovsky
30
56
0
17 May 2020
Assessing the Robustness of Visual Question Answering Models
Assessing the Robustness of Visual Question Answering Models
Jia-Hong Huang
Modar Alfadly
Guohao Li
M. Worring
AAML
OOD
17
23
0
30 Nov 2019
An Empirical Study on Leveraging Scene Graphs for Visual Question
  Answering
An Empirical Study on Leveraging Scene Graphs for Visual Question Answering
Cheng Zhang
Wei-Lun Chao
D. Xuan
23
50
0
28 Jul 2019
Trends in Integration of Vision and Language Research: A Survey of
  Tasks, Datasets, and Methods
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods
Aditya Mogadala
M. Kalimuthu
Dietrich Klakow
VLM
25
132
0
22 Jul 2019
Neural Modular Control for Embodied Question Answering
Neural Modular Control for Embodied Question Answering
Abhishek Das
Georgia Gkioxari
Stefan Lee
Devi Parikh
Dhruv Batra
LM&Ro
135
127
0
26 Oct 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,330
0
05 Nov 2016
Language as a Latent Variable: Discrete Generative Models for Sentence
  Compression
Language as a Latent Variable: Discrete Generative Models for Sentence Compression
Yishu Miao
Phil Blunsom
201
223
0
23 Sep 2016
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